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From this data representation, both clinical survival sample information and detailed gene information are readily accessible.
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On the other hand, if chimerism enhances colony survival, sampling relatively large colonies (from 15 to 40 cm in diameter) might have overestimated chimerism.
First, to get the most effective survival markers intermediate survival samples were eliminated.
This model was performed with a model group of 13 randomly selected survival samples and 13 dead samples.
In contrast, the gene expression profiles reach good concordance for the survival samples according to the extended cutoff.
dChip class neighbors analysis revealed that a group of metallothionein genes clustered the 8 short survival and 7 long survival samples.
As the result shows, the lesser variance in the overall survival samples indicates that the new cutoffs, which is different from the given criterion, offers us a more coherent gene expression mechanism in the redefined overall survival samples and the larger posterior probability illustrates that the two corresponding traits have a stronger separability based on the gene expression profiles.
Compared with the given cutoff 730 days, extending the survival time scale to 1,561 days can effectively increase the consistence of survival samples based on the gene expression profile, thereby improving the performance of OS positive (death) prediction.
Based on the cut-off value of DSI as above, one of 15 survival samples and one of 15 dead samples were removed, and general accurate rate of prediction was 93.3%. Figure 3 shows predicted probability of survival based on DSI.
However, the observed bias became negligible as the rates of individual survival or sample sizes increased.
This result was qualitatively similar for all combinations of survival and sample size.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com